Artificial intelligence (AI) is transforming personalized medicine by enabling more accurate diagnoses, tailored treatment plans, and proactive health management. This review explores how AI technologies, including data analysis, diagnostic tools, and treatment planning, enhance personalized medicine. AI's ability to process vast amounts of data allows for the identification of patterns and correlations that are beyond human capability, leading to more precise disease prediction and treatment strategies. AI-powered diagnostics improve accuracy and speed, while treatment planning algorithms consider individual patient characteristics to optimize care. Wearable technology and remote monitoring further enable real-time health tracking, supporting proactive management of chronic conditions. Despite these advancements, challenges such as data privacy, bias, and regulatory hurdles must be addressed to ensure responsible AI integration into healthcare. Ethical considerations, including patient autonomy and informed consent, are crucial in AI-driven healthcare. Interdisciplinary collaboration is essential to develop AI solutions that are both effective and equitable. Future prospects include advancements in AI technology that will further enhance personalized medicine, expand access to tailored treatments, and foster collaboration across disciplines. Continued research, ethical oversight, and policy-making are necessary to realize the full potential of AI in personalized medicine, ensuring it aligns with societal values and improves health outcomes for all.Artificial intelligence (AI) is transforming personalized medicine by enabling more accurate diagnoses, tailored treatment plans, and proactive health management. This review explores how AI technologies, including data analysis, diagnostic tools, and treatment planning, enhance personalized medicine. AI's ability to process vast amounts of data allows for the identification of patterns and correlations that are beyond human capability, leading to more precise disease prediction and treatment strategies. AI-powered diagnostics improve accuracy and speed, while treatment planning algorithms consider individual patient characteristics to optimize care. Wearable technology and remote monitoring further enable real-time health tracking, supporting proactive management of chronic conditions. Despite these advancements, challenges such as data privacy, bias, and regulatory hurdles must be addressed to ensure responsible AI integration into healthcare. Ethical considerations, including patient autonomy and informed consent, are crucial in AI-driven healthcare. Interdisciplinary collaboration is essential to develop AI solutions that are both effective and equitable. Future prospects include advancements in AI technology that will further enhance personalized medicine, expand access to tailored treatments, and foster collaboration across disciplines. Continued research, ethical oversight, and policy-making are necessary to realize the full potential of AI in personalized medicine, ensuring it aligns with societal values and improves health outcomes for all.